Collection
SI - Hyperautomation with Artificial Intelligence and Deep Learning
- Submission status
- Closed
Due to the impact of COVID-19, many traditional manufacturers have stopped their production lines because of the lack of workforce, pushing those industries to accelerate digital transformation and operate production and process automation. Hyperautomation is an extended concept of conventional automation, exceeding the scope of a single procedure. Combining Artificial Intelligence (AI) tools and Robotic Process Automation (RPA), hyperautomation can automate almost all repetitive tasks. Moreover, hyperautomation can even dynamically explore sales or production processes to obtain optimal results. Hyperautomation primarily utilizes a series of tools, such as AI, RPA, Machine Learning (ML), and Deep Learning (DL), to reach the optimal condition by dynamic exploration and automating the processes through robots to improve effectiveness and production yields. Regarding the algorithm perspective, studies can suggest the hyperautomation algorithms, for example, the dynamic exploration process and optimal process analysis. On the other hand, from the application perspective, discussions can research various hyperautomation processes in industries to accelerate production and effectiveness. Furthermore, during the dynamic exploration in hyperautomation, selecting appropriate tools to complete the task precisely is challenging. This special issue enables researchers and engineers interested in hyperautomation issues to offer novel approaches and advance the technology and benefits of hyperautomation.
All papers will undergo the standard, rigorous journal review process and be accepted only if well-suited to the topic of this special issue and meeting the scientific level of the journal. Final decisions on all papers are made by the Editor in Chief.
Editors
-
Patrick C. K. Hung
Ontario Tech University, Canada
Dr. Patrick C. K. Hung is a Professor, Graduate Program Director of Computer Science, and Director of International Programs at the Faculty of Business and Information Technology at Ontario Tech University, Canada. He is an Honorable Guest Professor at Shizuoka University, Hamamatsu, Japan. He was also a Distinguished Visiting Fellow at Abertay University, Scotland, and a Visiting Researcher at the University of São Paulo, Brazil.
Articles (22 in this collection)
-
-
Application of deep learning and XGBoost in predicting pathological staging of breast cancer MR images
Authors (first, second and last of 7)
- Yue Miao
- Siyuan Tang
- Miao Zhang
- Content type: OriginalPaper
- Published: 02 December 2023
- Pages: 8933 - 8953
-
Constructing the intelligent expressway traffic monitoring system using the internet of things and inspection robot
Authors
- Youlin Li
- Content type: OriginalPaper
- Published: 28 November 2023
- Pages: 8742 - 8766
-
Optimized radial basis function network for the fatigue driving modeling
Authors (first, second and last of 6)
- José de Jesús Rubio
- Marco Antonio Islas
- Carlos Aguilar-Ibañez
- Content type: OriginalPaper
- Published: 28 November 2023
- Pages: 8719 - 8741
-
Climate change characteristics and population health impact factors using deep neural network and hyperautomation mechanism
Authors
- Chao Shao
- Hairui Zhang
- Content type: OriginalPaper
- Published: 27 November 2023
- Pages: 8637 - 8667
-
Online mode development of Korean art learning in the post-epidemic era based on artificial intelligence and deep learning
Authors
- Kaiyi Deng
- Guanen Wang
- Content type: OriginalPaper
- Published: 24 November 2023
- Pages: 8505 - 8528
-
The use of fuzzy authentication integrated with convolutional neural networks in digital content protection
Authors
- Junfeng Wang
- Content type: OriginalPaper
- Published: 03 November 2023
- Pages: 7123 - 7146
-
Development of a smart tourism service system based on the Internet of Things and machine learning
Authors
- Hui Ma
- Content type: OriginalPaper
- Published: 27 October 2023
- Pages: 6725 - 6745
-
Spatial-guided informative semantic joint transformer for single-image deraining
Authors (first, second and last of 5)
- Haiyan Li
- Shaolin Peng
- Hongsong Li
- Content type: OriginalPaper
- Published: 25 October 2023
- Pages: 6522 - 6551
-
Novel post-photographic technique based on deep convolutional neural network and blockchain technology
Authors
- Hongjie Geng
- Mingming Zhou
- Content type: OriginalPaper
- Published: 17 October 2023
- Pages: 6119 - 6139
-
Chord-based music generation using long short-term memory neural networks in the context of artificial intelligence
Authors
- Fanfan Li
- Content type: OriginalPaper
- Published: 16 October 2023
- Pages: 6068 - 6092
-
Enhancing computer-aided translation system with BiLSTM and convolutional neural network using a knowledge graph approach
Authors (first, second and last of 4)
- Yueting Xiang
- Yangfen Chen
- Hui Ye
- Content type: OriginalPaper
- Published: 07 October 2023
- Pages: 5847 - 5869
-
Using video analysis and artificial neural network to explore association rules and influence scenarios in elite table tennis matches
Authors (first, second and last of 4)
- Jing-Wei Liu
- Ming-Hua Hsu
- Sheng-K Wu
- Content type: OriginalPaper
- Open Access
- Published: 28 September 2023
- Pages: 5472 - 5489
-
Accurate remaining useful life estimation of lithium-ion batteries in electric vehicles based on a measurable feature-based approach with explainable AI
Authors
- Sadiqa Jafari
- Yung Cheol Byun
- Content type: OriginalPaper
- Published: 19 September 2023
- Pages: 4707 - 4732
-
The analysis of Iris image acquisition and real-time detection system using convolutional neural network
Authors
- Yanru Liu
- Jiali Xu
- Austin Lin Yee
- Content type: OriginalPaper
- Published: 14 September 2023
- Pages: 4500 - 4532
-
Side-channel analysis based on Siamese neural network
Authors
- Di Li
- Lang Li
- Yu Ou
- Content type: OriginalPaper
- Published: 13 September 2023
- Pages: 4423 - 4450
-
A comprehensive survey of link prediction methods
Authors
- Djihad Arrar
- Nadjet Kamel
- Abdelaziz Lakhfif
- Content type: OriginalPaper
- Published: 07 September 2023
- Pages: 3902 - 3942
-
Multi-threshold segmentation of breast cancer images based on improved dandelion optimization algorithm
Authors (first, second and last of 5)
- Zhenghong Wang
- Fanhua Yu
- Rongjun Hu
- Content type: OriginalPaper
- Published: 07 September 2023
- Pages: 3849 - 3874
-
Basketball action recognition based on the combination of YOLO and a deep fuzzy LSTM network
Authors
- Soroush Babaee Khobdeh
- Mohammad Reza Yamaghani
- Siavash Khodaparast Sareshkeh
- Content type: OriginalPaper
- Published: 05 September 2023
- Pages: 3528 - 3553
-
Exploration of low-resource language-oriented machine translation system of genetic algorithm-optimized hyper-task network under cloud platform technology
Authors (first, second and last of 4)
- Xiao Liu
- Junlong Chen
- Tong Zhang
- Content type: OriginalPaper
- Published: 04 September 2023
- Pages: 3310 - 3333
-
A robust MRI-based brain tumor classification via a hybrid deep learning technique
Authors (first, second and last of 4)
- Shaimaa E. Nassar
- Ibrahim Yasser
- Mohamed A. Mohamed
- Content type: OriginalPaper
- Open Access
- Published: 08 August 2023
- Pages: 2403 - 2427
-
OptiSembleForecasting: optimization-based ensemble forecasting using MCS algorithm and PCA-based error index
Authors
- Md. Yeasin
- Ranjit Kumar Paul
- Content type: OriginalPaper
- Published: 19 July 2023
- Pages: 1568 - 1597